Re-evaluation of DCP libraries reveals design insights for improved hit rates.

A. ES score distribution across various DCP scaffolds with the originally randomized regions marked in green colored regions. B. Correlation between the “unmatched scores” and the hit rates for 7 previously reported DCP scaffolds; a higher degree of mis...

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Bibliographic Details
Main Author:	Fei Cai (43088) (author)
Other Authors:	Yuehua Wei (1515808) (author), Daniel Kirchhofer (769756) (author), Andrew Chang (578485) (author), Yingnan Zhang (270437) (author)
Published:	2024
Subjects:	Biophysics Biochemistry Biotechnology Biological Sciences not elsewhere classified Information Systems not elsewhere classified yeast surface display naturally occurring disulfide natural language understanding high accuracy across de novo </ attractive therapeutic modalities alanine scanning experiment good folding properties enhanced folding efficiency highly functional libraries findings could pave exhibiting highly stable work advances peptide utilizing multiple dcps div >< p >- designed hcp discovering peptide therapeutics original library design peptide scaffolds played libraries could spontaneous folding stable topology library design peptide scaffolds developing therapeutics based therapeutics techniques used scale dataset robust platform rapid prediction prediction model poor chemical physical stability model based like scaffolds key residues insights gained first generated emerging modality either agonize efficient development crucial role broad range
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Re-evaluation of DCP libraries reveals design insights for improved hit rates.

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